2022admission guide for department of creative informatics

This document is a translation from the official Japanese version.

2022Admission Guide for Department of Creative Informatics

Graduate School of Information Science and Technology

The University of Tokyo

Contact: Department Administration Office

7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656University of Tokyo Graduate School of Engineering / Information Science

Office of Academic Affairs Division Department Team (Department of Creative Informatics)

TEL: 03-5841-6889 [email protected]

Department’s website for Entrance Examinations: Visit https://www.i.u-tokyo.ac.jp/index_e.shtml Admissions > Departments and Faculty > Creative Informatics > Admissions

Note 1: In addition to this document, carefully read Admission Guide for Graduate School of Information Science and Technology (read the guide for the applicant’s program: Master’s program, Doctoral program, or Doctoral program [Special selection for working students]), as well as the Guidelines for Submission of TOEFL Scores.

Note 2: The Department of Creative Informatics conducts Summer entrance examinations and Winter entrance examinations for both the Master’s and Doctoral programs. Summer and Winter entrance examinations differ in schedules, examination subjects, and examination methods.

Note 3: The contents of this document and Admission Guide for Graduate School may be changed to prevent the spread of new coronavirus infection. In that case, the change will be posted on the website of the graduate school and/or the department. Regularly check it.


1. Message for applicants

The Department of Creative Informatics is the newest Department within the comparatively new Graduate School of Information Science and Technology. It was founded in 2005. The Department of Creative Informatics currently incorporates aspects of five fields: Computer Science, Mathematical Informatics, Information Physics and Computing, Information and Communication Engineering, and Mechano-Informatics. The educational philosophy is “To refine practical creativity for realizing outstanding ideas, through creative practices over interdisciplinary fields. To achieve this goal, the Department will combine projects and advanced personnel training, and will promote collaborations among industry, government, and academia aimed at human resource cultivation. We hope that students completing this Department's program will play a leading role in the field of information technology.

- 1 -


2. Master’s program2.1 Examination schedules and examination subjects i) Summer entrance examination(1) Document screening Document screening will be conducted based on the submitted documents. Regarding the notification of the screening, refer to Admission Guide for Graduate School.

(2) General education subjects Applicants must select either Mathematics or Programming at the time of application. Those who are absent from the examination in the general education subject are considered to have withdrawn from the entrance examination.

Subject Date and location Description

Mathematics Refer to Admission Guide for Graduate School

Programming

Friday, August 6, 2021 13:00 – 17:00

School of Engineering; Bldg. No. 6 (Details will be posted at the main entrance to the School of Engineering Bldg. No. 6 on the day of the examination)

The basic skills of programming is examined. The applicants must bring their own laptop PCs and write programs for the given topics. They may use their preferable programming languages. Answering time is 150 minutes in total. .

Notes: A programming environment must be installed in the laptop PCs used during the programming examination. The applicants may bring one copy of printed book about programming and they may refer to that book during the examination. The applicants may use source programs, libraries, and other resources stored in the PC. Connecting the PC to any network is prohibited during the examination. Confirm that the PC can read from and write to a USB flash drive (type A).

(3) Foreign language TOEFL iBT/TOEFL iBT(SHE) scores will be used to evaluate the applicants’ English skills. For details, refer to “Guidelines for Submission of TOEFL Test Scores; Graduate School of Information Science and Technology, The University of Tokyo,” which is enclosed in the common admission guide.

(4) Specialized subjects Applicants shall select one of the following four specialized subjects at the time of application. The applicants not selecting Creative Informatics should find out the details by referring to Admission Guide for the corresponding department. Those who are absent from the examination in specialized subjects are considered to have withdrawn from the entrance examination.

- 2 -


Subject Dates and locations Description

Creative Informatics

Monday, August 23, 2021 13:00 – 17:00 School of Engineering Bldg., No. 6 (Details will be posted at the main entrance to the School of Engineering Bldg. No. 6 on the day of the examination)

Applicants solve three problems in the fields related to software/algorithms, computer hardware, and information systems, and other related fields. Answering time is 150 minutes in total.

Computer science Refer to Admission Guide for Department of Computer Science.

Information Physics and Computing

Refer to Admission Guide for Department of Information Physics and Computing.

Information and Communication Engineering

Refer to Admission Guide for Department of Information and Communication Engineering.

(5) Oral examination The oral examination is conducted online on Wednesday, August 25 2021 (when the examination ends depends on the number of applicants). The oral examination schedule will be posted on the website by the day of the examination. In the oral examination, applicants will be asked about the issues such as the written examinations, current research topics, and a research plan at the graduate school.

ii) Winter entrance examination

(1) Document screening Document screening will be conducted based on the submitted documents. Regarding the notification of the screening, refer to Admission Guide for Graduate School.

(2) General education subject The applicants must select programming for Winter entrance examination unlike Summer entrance examination. Those who are absent from the examination in the general education subject are considered to have withdrawn from the entrance examination.

Subject Dates and location Description

Programming

Wednesday, February 9, 2022 13:00 – 17:00

School of Engineering; Bldg. No. 6 (Details will be posted at the main entrance to the School of Engineering Bldg. No. 6 on the day of the examination)

Refer to the description for Summer entrance

examination.

Note: Refer to the description for Summer entrance examination

- 3 -


(3) Foreign language TOEFL iBT/TOEFL iBT(SHE) scores will be used to evaluate the applicants’ English skills. For details, refer to “Guidelines for Submission of TOEFL Test Scores; Graduate School of Information Science and Technology, The University of Tokyo,” which is enclosed in the common admission guide.

(4) Specialized subject Unlike the Summer entrance examination, students cannot take examination for specialized subjects of other departments. Those who are absent from the written exam are considered to have withdrawn from the entrance exam.

Subject Dates and location Description Creative Informatics

Tuesday, February 8, 2022 13:00 – 17:00 School of Engineering, Bldg. No.6, (Details will be posted at the main entrance to the School of Engineering Bldg. No. 6 on the day of the examination)

Refer to the description for Summer entrance examination.

(5) Oral examination The oral examination is conducted online on Thursday, February 10, 2022. (when the examination ends depends on the number of applicants). The oral examination schedule will be posted on the website by the day of the examination. In the oral examination, applicants will be asked about the issues such as the written examinations, current research topics, and a research plan at the graduate school.

2.2 Submission of Preference Card Applicants must submit the Preference Card (Summer and Winter entrance examinations for the Master's program) along with other application materials.

2.3 Transfer to online examination If a resident of a foreign country has a difficulty to take the onsite examination and he/she wants to apply for the transfer of the written examination to the online examinations, he/she must submit “Transfer application for the online written examinations”. Carefully read the instructions before the submission. If the application is approved, the applicants must attend online connection rehearsals. The rehearsals are held on July 30th (Programming in summer), February 1st (Programming in winter), August 20th (Specialized Subject: Creative Informatics in summer), and February 1st (Specialized Subject: Creative Informatics in winter). For the details of the rehearsal for Mathematics, refer to Admission Guide for the Graduate School. The applicants who do not participate the rehearsal will lose their eligibility for the admission. The online examination will start earlier than the onsite one. The online examination for Winter examination may not be conducted depending on the situation of the pandemic.

- 4 -


3. Doctoral program / Doctoral program [Special selection of working students]

3.1 Examination schedules i) Summer entrance examination(1) First round examination

Subject Dates and location Description Specialized subject Creative Informatics

Monday, August 23, 2021 13:00 – 17:00 School of Engineering Bldg., No. 6 (Details will be posted at the main entrance to the School of Engineering Bldg. No. 6 on the day of the examination)

Applicants solve three problems in the fields related to software/algorithms, computer hardware, and information systems, and other related fields. Answering time is 150 minutes in total.

Oral examination Tuesday, August 24, 2021 From 1:30 p.m. (When the number of applicants is large, the examination may be also held on Thursday, August 26. The start time when the examination ends depends on the number of applicants.)

The oral examination is conducted online. Its schedule will be posted on the website by the day of the examination.

Applicants give a presentation on their Master’s thesis or equivalent work and doctoral research plans (about 20 min.; slides can be used), and then they are asked questions on the presentation and other issues.

Notes: (a) TOEFL iBT/TOEFL iBT(SHE) scores will be used to evaluate the applicants’ English skills. For details, refer to “Guidelines for Submission of TOEFL Test Scores; Graduate School of Information Science and Technology, The University of Tokyo,” which is enclosed in the common admission guide. (b) Applicants are exempted from submitting the TOEFL scores and taking the examination in specialized subjects if they have graduated or they are expected to graduate Master's program at Graduate School of Information Science and Technology, The University of Tokyo.

(2) Second round examination The second-round examination is conducted during the days for Winter examination. It is an oral examination. The applicants who have passed the first round will be informed later of the details. If the applicants are master students at Department of Creative Informatics, in principle, their second-round examinations are conducted from Thursday, January 27 to Friday, January 28, 2022. If the applicants expect to start their doctoral program in October, they have their Master's degree when they apply for the entrance examination, or they are expected to graduate their Master’s program in September, their second-round examinations are conducted together during the oral examination for the first-round.

- 5 -


ii) Winter entrance examinationThe first and second round examinations are conducted during the period from Tuesday, February 8 to Thursday 10, February, 2022. Only a limited number of applicants will be accepted. The examination method will be the same as the method for Summer entrance examination. The details of the examination in the specialized subject are subject to the corresponding examination for Winter entrance examination for the Master’s program.

3.2 Preference surveys of applicants for the Doctoral program The prospective applicants for the Doctoral program should keep in close contact with their prospective faculty advisor before the application period. Applicants must submit their Preference Card (for the Doctoral program) along with other application materials. A faculty advisor will be immediately assigned to an applicant (but subject to change) when he/she passes the first-round examination.

3.3 Submission documents for the Doctoral program [Special selection for working students] The applicants must submit a one- or two-page A4-size document, which summarizes major achievements during their employment, as "Outline of Work Achievements" listed in 6. Application Documents in Admission Guide: Doctoral Program [Special Selection for Professionals].

3.4 Transfer to online examination If a resident of a foreign country has a difficulty to take the onsite examination and he/she wants to apply for the transfer of the written examination to the online examination, he/she must submit “Transfer application for the online written examinations”. Carefully read the instructions before the submission. If the application is approved, the applicants must attend an online connection rehearsal. The rehearsal is held on August 20th (Specialized Subject: Creative Informatics in summer), or February 1st (Specialized Subject: Creative Informatics in winter). The applicants who do not participate the rehearsal will lose their eligibility for the admission. The online examination will start earlier than the onsite one. The online examination for Winter examination may not be conducted depending on the situation of the pandemic.

- 6 -

[Preference Card (Summer entrance examination for Master’s program)]

The University of Tokyo Graduate School of Information Science and

Technology, Department of Creative Informatics

Program Master’s program

Examinee’s

name

*Examination

admission

number

Graduating

university

University:___________________ School: ____________________________

Department: ____________________________

Examinee

contact address

and phone

number during

the

examination

period

Address:

TEL:

TEL (mobile phone):

E-mail:

Names of

preferred

advisors

Preference 1 Preference 2


Intention

(Check)

I accept enrollment if another

advisor offers to serve as my

supervisor

I do not accept enrollment if another

advisor offers to serve as my

supervisor

Regular

education subjects to

be tested

Mathematics Programming

Do you wish

to enter the

school in

October 2021 ?

Yes

Specialized subjects

to be tested on the

examination (Check)

Creative

Informatics

Computer

science

Information

Physics and

Computing

Information and

Communication

Engineering

Residence Card

Retain

Status: student／other ( )

Expiration date of period of stay

Day, Month, Year 20

Not Retain

Attach a printed document clearly describing the research field you want to

study, the reason for your application, the research plan after your enrollment,

and your past activities and achievements. It must be one page of A4 or letter

size paper and single-sided.

Figures and tables may be included.

Submit this form along with your application.

* Leave this box blank

If you wish to enter the school in October 2021, who have not graduated from university by

September 2021,confirm whether the requirements are satisfied with the administration office and

circle “Yes” in the appropriate column above.

Circle one regular education subject and one specialized subject to be tested.

- 7 -


[Preference Card (Winter entrance examination for Master’s program)] The University of Tokyo Graduate School of Information Science and

Technology, Department of Creative Informatics

Program Master’s program Examinee’s name *Examination

admission number Graduating university

University:___________________School: ____________________________ Department: ____________________________

Examinee contact address and phone number during the examination period

Address:

TEL: TEL (mobile phone): E-mail:

Names of preferred advisors



Intention (Check)

I accept enrollment if another advisor offers to serve as my supervisor

I do not accept enrollment if another advisor offers to serve as my supervisor

Residence Card Retain Status: student／other( ) Expiration date of period of stay

Day, Month, Year 20

Not Retain

Attach a printed document clearly describing the research field you want to study, the reason for your application, the research plan after your enrollment, and your past activities and achievements. It must be one page of A4 or letter size paper and single-sided. Figures and tables may be included.

l Submit this form along with your application

l * Leave this box blank.

- 8 -


[Preference Card (Summer/Winter entrance examination for Doctoral program)] The University of Tokyo Graduate School of Information Science and

Technology, Department of Creative Informatics Program Doctor’s program Examinee’s name

*Examination admissionnumber

Graduating university or graduate school

University:___________________School:____________________________ Department: ____________________________ Graduate School:_______________School: ___________________________ Department: ____________________________

Examinee contact address and phone number during the Examination period

Address:

TEL: TEL (mobile phone): E-mail:

Names of preferred advisors

Application period (Circle the appropriate response)

Summer / Winter Special selection for working students Working student

Preferred time of entry (Circle the appropriate response)

October 2021 / April 2022

Residence Card □ RetainStatus: student／other( )

Expiration date of period of stay Day, Month, Year 20

□ Not Retain

Attach a printed document clearly describing the research field you want to study, the reason for your application, the research plan after your enrollment, and your past activities and achievements. It must be one page of A4 or letter size paper and single-sided. Figures and tables may be included.

l Submit this form along with your application. l * Leave this box blank. l If you wish to enter the school in October 2021, who have not earn Master’s degree by

September 2021, confirm whether the requirements are satisfied with the administration office and circle “Yes” in the appropriate column.

l If you are taking examination for “Special selection of working students,” circle “Working student” in the “Special selection of working students” column.

- 9 -


The University of Tokyo Graduate School of Information Science and Technology, Department of Creative Informatics

Faculty Advisors and Concurrent Faculty Advisors (as of April 2021) Your advisors must be selected among the faculty members in this list

Faculty Advisors

Professor Shigeru Chiba Programming Languages, Software Infrastructure Professor Takeo Igarashi

User Interface, Computer Graphics Professor Akiko Takeda

Mathematical Optimization, Operations Research Professor Hiroshi Saruwatari

Speech and Acoustic Information Processing, Statistical Signal Processing, Machine Learning

Professor Hiroshi Esaki Smart Internet, Sensor Network

Professor Masayuki Inaba Intelligent Robots, Humanoids

Associate Professor Mary Inaba Networks, Supercomputers, Computational Geometry

Associate Professor Hideki Nakayama Machine Perception, Natural Language Processing, Machine Learning Associate Professor Ryota Shioya

Computer Architecture, System Software, Information Security Associate Professor Manabu Tsukada

Computer Network, Cyber Physical Systems Associate Professor Nobuyuki Umetani

Computer Graphics, Physics Simulation Associate Professor Tomoharu Ugawa

Programming Languages, Garbage Collection

Concurrent Faculty Advisors who belong to other departments

Associate Professor Shinpei Kato (Dept. of Computer Science) Operating Systems, Supercomputing, Autonomous Driving Professor Kunihiko Sadakane (Dept. of Mathematical Informatics)

Algorithms and Data Structures, Big Data Processing Professor Hiroshi Nakamura(Dept. of Information Physics & Computing) Computer System, IoT/Cyber-Physical System, Computer Architecture Professor Kenjiro Taura (Dept. of Information & Communication Engineering)

Parallel and distributed computing, programming languages, big data processing, high-performance computing, and their applications

Professor Tatsuya Harada (Dept. of Mechano-Informatics) Computer Vision，Machine Learning，Real-world Intelligent Information Processing

- 10 -


Associate Professor Shin Matsushima (Center for Education and Research in Information Science and Technology) learning theory, convex optimization, knowledge discovery, large-scale learning, sparse learning, asynchronous optimization, generalized additive models, subspace clustering

Associate Professor Kohei Nakajima (Center for Education and Research in Information Science and Technology) Reservoir Computing, Physical Reservoir Computing, Soft Robotics, Nonlinear Dynamics, Embodiment

- 11 -

Although writing a toy program is easy, developing truly useful and reliable software with a non-trivial size is not a simple task. It is often just too complex to complete and thus we need to carefully write a program to have a clear structure and to be easily readable and maintainable.

Developing software for helping such programming is a main part of our research. Most students are developing software as their art work. Coming up with a good idea, developing software based on that idea, and write a paper is our research activity.

We have been studying and developing program libraries, frameworks, and programming tools for a new style of programming. An example is a library for meta-level programming that automates program translation and generation. It allows user programmers to write a simple program and it automatically rewrites it to have more complex functionalities. Another example is a program-ming tool for developing a library with a “fluent” programming interface, so called an embedded domain specific language (DSL). Such a kind of DSL is getting important today.

We have been also developing a new programming language, usually an extended version of existing language that supports a new language construct. A language construct is a various component constituting a language, such as a while statement, an object and a class, a lambda expression, type inference, and so forth. As an academic research group, we are working for inventing a new language construct that will be adopted by widely used major programming languages in future.

A more fundamental layer of software stack is also our research topic. Our interests cover a compiler, an interpreter, and a language virtual machine. A system service provided by the operating-system layer is also a research topic, such as security, virtualization, distributed and/or parallel computing. We are also studying program analysis from a software engineering viewpoint and a tool for it. Applying machine learning to such analysis is also our recent research topic.

A wide range of research for helping programming practice is covered. A research topic for an individual student is selected through discussion with a supervisor.

About us

Our research interests are in programming languages and system software, i.e. the core of computing systems. We are seeking students who love pro-gramming as well as program-ming language design and soft-ware engineering. Our aim is to explore “cool” things related to programming.

To Applicants

We welcome students who have passion and strong inter-ests in software development. Good programming skills are desirable but not mandatory. Only basic programming skills are. Past students were able to quickly learn necessary skills if they like programming. Poten-tial applicants can ask a ques-tion about such required skills by emails. Visiting our group is also possible by appointment.

COMPUTING SOFTWARE GROUP also known as Prof. Chiba Shigeru’s Group

www.csg.ci.i.u-tokyo.ac.jp

｜Name｜　Shigeru Chiba (Prof.)　｜ Area ｜Programming Languages, System Software ｜

- 12 -

http://www.csg.ci.i.u-tokyo.ac.jp

http://www.csg.ci.i.u-tokyo.ac.jp

- 13 -

- 14 -

Name Prof. Hiroshi Saruwatari Research Field Acoustic & Statistical Signal Processing, Machine Learning

In Saruwatari Laboratory, we mainly address an innovation in new signal processing and information processing systems, focusing our attention on understanding, processing, and control of sound media (speech, music, etc.). For example, theories on new statistical modeling and machine-learning-based algorithms are of interest for us to solve the optimization problems under acoustical generative models and physical constraint. Through the innovation, we realize expansion of human hearing systems, new man-machine interface systems as well as new contribution to music art creation.

Auditory Communication Augmentation Based on Unsupervised/Semi-supervised Learning Systems We realize versatile unsupervised source separation based on Independent Low-Rank Matrix Analysis combining statistical estimation theories and low-rank modeling. Also, we address Independent Deeply Learned Matrix Analysis as a new harmony of deep learning and spatial acoustics, which can be applied to semi-supervised source separation. Thanks to these methods, human interface and auditory communication augmentation systems can be developed.

User-Oriented Music Information ProcessingWe realize high-quality music signal processing systems based on spatio-temporal signal analysis by applying machine-learning algorithms, e.g., nonnegative low-rank approximation and sparse representation to various multidimensional data. Using the systems, we establish versatile user-oriented information processing in order to contribute toward new creation of music art.

Sound Virtual Reality & Augmented Reality We create a high-accuracy reproduction theory for complex acoustic fields by introducing the unified mathematical representation of acoustical sound sensing, transmission, transformation, and reproduction. In particular, statistical estimation and super-resolution theories based on spherical harmonic analysis can be introduced to cope with unreliable sensing problems. Finally, we develop an ultra-realistic sound virtual reality system and an augmented reality system that can be applicable to man-machine interaction.

Speech Information Processing Based on Deep Learning We address theories on signal processing and machine learning for high-quality speech synthesis/conversion as a means of flexible human-human and human-machine communication. We have proposed Generative-Adversarial-Network-based DNN speech synthesis/conversion systems as the world’s first attempt and apply them to generation of a complex human voice. Furthermore, by modeling a natural fluctuation in singing voice, we can realize audio virtual reality systems with high expression capability.

Laboratory: Engineering Bldg. No.6, Hongo Campus WEB: http://www.sp.ipc.i.u-tokyo.ac.jp/

Our laboratory mainly focuses our attention on the theoretical innovation for mathematical modeling of acoustic sounds, and welcomes students who are interested in such a research and big- & small-data processing.

- 15 -

EEsaki Laboratory (www.hongo.wide.ad.jp)

Principle Advisor; Hiroshi Esaki, Ph.D <[email protected]> Location of Laboratory; Faculty of Engineering Building No.2, Hongo Campus Overview of Esaki Laboratory

Our laboratory researches widely distributed computer systems, the most well known being the Internet. We cover physical system development/deployment to user applications. Of our many research topics, we focus on a future Internet architecture and the (physical) Internet system. Our motto is “research in our right hand, operation in our left hand”. We show this motto in our working and professional operate-able system development.

Esaki Lab is one of primary laboratories in the WIDE Project (www.wide.ad.jp), which is a research and development consortium working on large scale Internet system and technologies. Established in 1988, WIDE has been a leading project exploring the Internet in Japan as well as across the world. The WIDE project counts more than 100 private companies and more than 400 active researchers in academia and industry as members. Laboratory members participate in practical, professional and global WIDE project activities; while operating our hand-made nation-wide R&D testbed, which is a part of a greater global R&D testbed.

Key words of recent Esaki Lab’s research topics are “Global”, “Mobile” and “Ubiquitous”. Our concrete research areas are Sensor and Facility Networking, Routing Architecture, Network Protocol Stack Architecture, Traffic Analysis and Virtualization, Software Defined Media.

Esaki Lab provides working opportunities at collaborating oversea research organizations, such as CNRS/INRIA (France), Cornell University/USC-ISI (USA), UCL(UK), HUT(Finland). These overseas research opportunities may be long term on-site research projects. Esaki Lab also hosts several oversea students each year from across the world. Related Projects

[1] WIDE Project (www.wide.ad.jp/), [2] Green University of Tokyo Project (www.gutp.jp/),[3] SDM Project (www.sdm.wide.ad.jp/), [4] IPv6 Promotion Council (www.v6pc.jp/)

Example Topics of Thesis Future Internet Architecture: DTN, Label Switching, Sensor Networks, Wireless Network, Facility Networking, Mobile Networking, P2P, Software Defined Media, IoT

- Distributed Operating Systems: Virtualization, Cloud Computing, File System- Future Internet Applications: SmartGrid, Ad Hoc and Nomadic Computing, Green ICT- Traffic Measurement and Analysis

Destinations after graduation The University of Tokyo, Keio University, CITI Group, IBM, MRI, NTT Communications, KDDI, NTT DoCoMo, NTT Data, Mitsubishi, Canon, Yokogawa, METI, MPT, NPA

Note: Easki lab requires all its students to have a working knowledge of UNIX or a UNIX like OS as it will be the primary working platform.

- 16 -

- 17 -

Name Mary Inaba Research Fields High speed network, Accelerator, Optimization

AAccelerators for Heavy Edge Computation are now in high demandWe propose and investigate hardware solution for this problem

Search problems, geometric problems, community extraction, etc.We focus on practical algorithm and codingWe encourage students to participate world competitions

- 18 -

　Human can instantly recognize various sensory information such as vision and audio, and describe it by language. However, the mechanism of such abilities is almost totally unknown.Although modern computers have made a remarkable progress in terms of computationalpowers, it has a still long way to go to rival real-world human intelligence in many aspects.　In Nakayama lab., we are aiming to establish such techniques, and conducting researches fromboth theory and application perspectives. This field is not mature enough and there are many unsolved problems, which makes it very attractive and challenging. We are eagerly waiting forambitious and creative students to tackle the future of AI together!

Toward computer systems that can intelligently process gigantic multimedia data to realize cognitive understanding of the world

We are mainly focusing on the development ofmathematical foundations to realize automaticrecognition and understanding of various multime-dia such as image, movie, speech etc. For example,high-level feature extraction for medias, andmachine learning or pattern recognition methodsare important topics.

While modern AI systems based on machinelearning have become able to achieve high recog-nition performance for given concepts, they arehopeless when they face unknown concepts in thereal world. To autonomously and incrementallyacquire new knowledge in the open world, we aredeveloping many techniques in both software andhardware aspects.

Head Mount Display

extracts images of the user’ s view

shows annotation and retrieval results to the user

Camera

Tablet PCrecognizes what is the imageand stores them with labels

Top 5 Annotation Gordon_setterAustralian_terrierYorkshire_terrierIrish_setter Newfoundland

Multi-class fine-grained image categorization

…

… …

…

　To enhance utility and availability of deep learn-ing, we are making various improvements for fastcomputation, memory reduction and robust learn-ing. In addition, we are also developing flexibleneural models to integrate various modalities, notonly images but also natural language and others.

One of the keys to realize computers being ableto understand natural language is how to imple-ment world knowledge on them. To this end, webelieve it is important to employ not only lingualdata but broader multi-modal information. Partic-ularly, we are trying to establish a frontier span-ning language and vision toward AIs with deepunderstanding of the world.

Multi-languagecharacter recognition

Medical image analysis

Fast initialization of CNNs

Multi-modal deep learning

Parameter compression via quantization network

Wearable interface

Object discovery and segmentation

Transfer learning

Syntactic word embedding

Neural machine translation Movie captioning

- 19 -

Name Ryota Shioya (Associate Prof.) Field Computer Architecture

Our group's mission is to improve the performance, energy efficiency, and security of computer systems. We conduct research focusing on CPU architecture and a wide range of relevant topics including program languages, operating systems, and applications.

MachineLearning CG

RobotControl UI App.

OS Prog. Language

CPU Architecture

Electronic Device, Logic Circuit

A CPU, which executes programs and performs calculations, is the heart of a computer. Research incomputer architecture is to explore novel techniques to improve computer systems including CPUs.

This field is at the boundary between hardware and software. We explore techniques to improvehardware considering software or those to improve software considering hardware.

We welcome students who have interests in computer hardware or a fundamental layer of softwarestack such as a compiler, interpreter, virtual machine and OS.

Energy-efficient Hybrid CPUWe introduce different CPUs specialized to various situations, and improve energy efficiency by cherry-picking the specialized CPUs for each situation.

Dynamic Information Tracking for SecurityInstead of relying on endless fixes of security vulnerabilities, we explore a "fundamentally secure" system by tracking dynamic information flows.

Advanced RISC-V CPU "RSD"RISC-V is an open CPU standard, which has recently appeared. This is analogous to the appearance of Linux against a closed OS. We are conducting research and development of advanced RSIC-V compatible CPU "RSD" that introduced our research results.

Other Research TopicsHardware Assist for Scripting LanguagesLightweight Memory Protection for WEB BrowserInstruction Fetch Techniques for Server Apps.Multiport Memory Construction Method for FPGA SRAM Circuit SimulatorCPU Pipeline Visualization Tool

tion.

- 20 -

Tsukada Laboratory was founded in 2019 as a part of Department of Creative Informatics. The laboratory focuses on computer network and cyber-physicalsystems, and have engaged in the fields of transportation and live entertainment. Transport research includes Intelligent transportation systems (ITS) and autonomous driving. Live entertainment research includes VR remote transmission of live music and platform for object-based media.

http://tlab.hongo.wide.ad.jp/

http://gcl-muscat.jp/ http://sdm.wide.ad.jp/ In ITS, research and development of autonomous driving have been actively carried out, but many of them are standalone mode autonomous driving that sensors and computers merely replace human perception, judgment, and operation. On the other hand, in the network-assisted autonomous driving, vehicles are connected by networks, and information on places which cannot be seen by automotive onboard sensors can be obtained, so further safety and efficiency can be achieved.Keyword: Cooperative ITS, Wireless networking, Edge-cloud computing, Dynamic map, Ad-hoc networking, fifth-generation mobile communication system (5G), ISO/ETSI standards

The objective of this study is to create an audio-visual software space that creates a global scale sense of unity over the Internet. Converting from large-size media and streaming services that are highly unidirectional, we will drastically transform the participation experience of remote audience in musical lives by supporting large-scale and distributed audience interactions with the venue. Keyword: audio-visual media, immersive technologies, object-based audio, open data, VR/AR, Building Information Modeling（BIM）

Workshop with autonomous vehicle

(Hongo, 2018)

With old colleagues at Vehicular conference

(Nice, 2017)

Recording of Keio University’s classic

concert (Hiyoshi, 2016)

Demonstration in Interop Tokyo with industry partners

(Makuhari, 2018)

Think globally from different points of view During my undergraduate and master’s course in Japan, I conducted three international research internships in Australia and France. Then, I worked in France for 6 years as a foreign researcher before coming to the University of Tokyo. Since 2013, I have been working at the University of Tokyo as a faculty member of the Global Creative reader (GCL) education program which is designed to educate leaders who will bring about social innovation driven by cooperation between different fields based on ICT. From my foreign experience and international collaboration, we consider diversity and different way of thinking is essential for social innovation. We are more than happy to help students to go abroad for their research works.

Research with academic-industry collaboration The collaboration between academic and industry brings mutual benefits to both sectors. We established consortiums to discuss real issues in the research and business domain. Also, we conduct demonstration experiments, deployments of research achievements, and business trials.

- 21 -

Interactive Graphics & Engineering Group

Name：Nobuyuki Umetani Research Interests：Computer Graphics, Physics Simulation

Code of conduct:Pursuit your own interest• We encourage each student to set up his/her own research subject through extensiveliterature survey. This is an essential skill to become an independent researcher.

Research communication skill• We practice scientific writing and presentation a lot through paper submission and practicetalk. Your awesome research worth nothing if the audience cannot understand it.

Applied math and programming• Techniques in computer graphics can solve many practical problems. We put emphasis onmath and programing skills to acquire these techniques and apply them for new problems.

Our group encourage international collaboration, joint collaboration with industry, and cross-disciplinary research. There are many opportunities in Japan as the graphics and manufacturing industries a strong (e.g., game and car). Highly motivated and skilled students are always welcome.

http://www.nobuyuki-umetani.com/

Our group is working on computational fabrication, physics-based animation, digital contentscreation. Computational prototyping machine such as ３D printers are widely available but itis still difficult for the novice users to design functional objects. Using physics simulation andmachine learning techniques, we aim to achieve an interactive interface to facilitate the user’screative design. We welcome students how have interest in computer graphics orcomputational physics to develop new technologies together!

Machine learning on 3Dgeometry usingautoencoder network

Design of wind-instrumentsusing resonance simulation

Machine learningaerodynamics

Interactive clothing patterdesign system

Robust simulationof flexible rods

Detection ofstructural weakness

- 22 -

http://www.nobuyuki-umetani.com/

Tomoharu Ugawa Programming Languages, Garbage Collection, Implementation

Almost every aspect of our lives today depends on computer systems. Every system depends on the programming languages it is written in. My research goals are to improve the performance of interpreters and virtual machines for programming languages. My research topics include performance optimization, garbage collection and implementation of high-level languages on embedded systems and new hardware.

https://tugawa.github.io/

Persistent Heaps for Java using Non-Volatile Memory Big-data applications desire high-performance persistent storage systems. We exploit new Non-Volatile Memory (NVM) technologies, which can preserve memory contents without power. For example, we are developing mechanisms for Java to recover data even after a sudden power loss. With this system, data can be held in memory thus improving access speed compared with traditional database systems, where data is stored in a disk. We are also researching techniques to minimize performance degradation while using NVM, which although much faster than old-fashioned flash memory is slower than normal DRAM.

A Tailor-Made JavaScript Virtual Machine for Embedded Systems JavaScript is a widely-used programming language in browsers. This research aims at making JavaScript available on embedded systems and IoT devices, with limited computational resources (CPU power and memory). JavaScript programs are executed on virtual machines called JavaScript engines. Our approach is to specialize the virtual machine to the JavaScript

program being run.

I welcome students who like programming, algorithms, or engaging with complex systems.

- 23 -


Concurrent Faculty Advisors who belong to other departments

name Shinpei Kato Research Fields

Operating Systems, Supercomputing, Cyber-Physical Systems

We conduct research on computing platforms underlying creation of disruptive innovations. Examples of our research projects include the following: (1) On many-core architectures integrating million cores on a chip and their operating systems (2) On supercomputing and distributed data processing for peta-scale real-world and real-time

information (3) On self-driving systems and artificial intelligence technology

name Kunihiko Sadakane

Research Fields

Algorithms and Data Structures,

Big Data Processing

In Sadakane laboratory at the Department of Mathematical Informatics, we develop algorithms and data structures for processing big data. Especially, we focus on succinct data structures which can process data in a compressed form. Not only the theory of algorithms, but we also aim to implement and apply them to real data.

name Hiroshi

Nakamura Research Fields

Computer System, IoT/Cyber-Physical System, Computer Architecture

We mainly address high-performance, dependable, and low-power computer system to realize advanced interaction between physical and cyber worlds. - IoT/Cyber-Physical System: Optimization of total computer systems by integrating sensors and server systems in IoT world. - Ultra Low Power Computer System: Ultra low power VLSI systems and high-performance and low-power computing through co-optimization between circuit technology, computer architecture, system software, and algorithm.

- 24 -


name Kenjiro Taura Research Fields

Parallel and distributed computing, programming languages, big data processing, high-performance computing, and their applications

(Visit our homepage at https://tinyurl.com/taulab) Central topics of Taura group are software to deliver high-performance computing to everyone and high-performance applications. A pillar is designing programmer-friendly programming languages or libraries and their high-performance implementations with SIMD, multicores, GPUs, and supercomputers. The challenge is to attain both productivity and performance on complex hardware. They include domain-specific systems for machine learning, pattern extractions and N-body problems, general-purpose systems for load balancing and distributed shared memory and libraries for special-purpose hardware such as digital annealer (digital implementation of quantum annealer). Another pillar is big data processing and its applications. They include mining of company home pages for finding good business succession and analysis of electronic medical records for reducing medical accidents, around which we are seeking good synergies with research on machine learning frameworks and/or big data processing.

name Tatsuya Harada Research Fields

Computer Vision，Machine Learning，

Real-world Intelligent Information Processing

Our laboratory focuses on machine intelligence. Our goal is to invent hyper-intelligent systems by combining useful but infinite information in the physical space with a huge amount of data and powerful computational resources in the cyberspace. To tackle this challenging problem, we utilize all resources in the area of computer science including machine learning, computer vision, natural language processing and robotics.

name Shin Matsushima Research Fields

learning theory, convex optimization, knowledge discovery, large-scale learning, sparse learning, asynchronous optimization, generalized additive models, subspace clustering

Our laboratory focuses on both the practical application and fundamental theory of machine learning. Our key approach is to develop efficient algorithms that can easily be used by anybody. As for research into the theory, we evaluate statistical properties of machine learning methods and the efficiency of learning algorithms. We do this via statistical learning and optimization theory with a view towards developing methods that guarantee favorable behaviors in the real world. As for research into the applications, we develop methods and algorithms tailored to the properties and structure of real world data with the goal of knowledge discovery and value creation.

Please feel free to contact us through our web page (https://ml.c.u-tokyo.ac.jp) for lab viewing, possible research topics, personal career plans, etc.

- 25 -


name Kohei Nakajima Research Fields

Reservoir Computing, Physical Reservoir Computing, Soft Robotics, Nonlinear Dynamics, Embodiment

Our laboratory pursues the nature of information processing by capitalizing on the relationship between physics and its information processing capability, both theoretically and experimentally. The key topics are the concept of embodiment and the framework of reservoir computing or physical reservoir computing. In particular, the framework of physical reservoir computing allows us to exploit physical dynamics as a computational device, and we have proposed a number of platforms based on this framework, including muscular-hydrostat computers, spintronics reservoir computing, and quantum reservoir computing. Our lab members are from all kinds of fields, including biology, physics, mathematics, and machine learning/robotics, and aim to explore the nature of information processing.

- 26 -


Required Documents（Department of Creative Informatics）

Summer Examination Winter Examination

Documents to be Submitted Who to Submit Documents to be Submitted Who to Submit

Master's

Course

Preference Card

(Summer Entrance Examination

for Master's Program)

All Applicants

Preference Card

(Winter Entrance Examination

for Master's Program)

All Applicants

TOEFL iBT/TOEFL iBT(SHE)

Score All applicants


Score All Applicants

Transfer application for the

online written examinations

Only applicants for online

examination




examination

Doctoral

Couse

Preference Card

(Summer/Winter Entrance

Examination for Doctoral

Program)

All Applicants

Preference Card



Program)

All Applicants


Score

All applicants except:

・those who have completed

(or are expected to

complete) a Master's

program in the Graduate

School of Information

Science and Technology,

the University of Tokyo


Score

All applicants except those

who have completed (or are

expected to complete) a

Master's program in the

Graduate School of

Information Science and

Technology, the University

of Tokyo




examination




examination

Doctoral

Course

<Special

Selection for

Professionals>

Preference Card



Program)

All Applicants

Preference Card



Program)

All Applicants

Major achievement during

employment (no more than 2

pages in A4-size）

All Applicants

Major achievement during

employment (no more than 2

pages in A4-size）

All Applicants


Score

All applicants except:

・those who have completed

(or are expected to

complete) a Master's

program in the Graduate

School of Information

Science and Technology,

the University of Tokyo


Score

All applicants except those

who have completed (or are

expected to complete) a

Master's program in the

Graduate School of

Information Science and

Technology, the University

of Tokyo




examination




examination

- 27 -